Machine learning and deep learning models applied to integrated clinical and claims data can improve prediction of chronic ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

This retrospective study included 643 patients who had undergone NSCLC resection. ML models (random forest, gradient boosting, extreme gradient boosting, and AdaBoost) and a random survival forest ...

A new machine learning approach developed through an international collaboration between Polytechnic University of Milan and Drexel University could help architects and urban planners better predict ...

The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

1. Demand Prediction Engine: A Technological Leap from "Passive Response" to "Active Anticipation" ...

After a hurricane passes, scientists routinely analyze the assorted computer models used to predict its path and power and ...

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Discover how machine learning shows high accuracy for HIV prediction but needs better validation before use in STI clinical ...

NFL prop picks and SGP bets for Minnesota vs. Atlanta on Sunday Night Football from the SportsLine Machine Learning Model AI ...